#! /usr/bin/env python

import openturns as ot
import persalys

myStudy = persalys.Study("myStudy")

# Model
X0 = persalys.Input("X0", ot.Normal(1, 1))
X1 = persalys.Input("X1", ot.Normal(1, 1))
Y0 = persalys.Output("Y0")

model = persalys.SymbolicPhysicalModel("aModelPhys", [X0, X1], [Y0], ["sin(X0) + 8*X1"])
myStudy.add(model)

# limit state ##
limitState = persalys.LimitState("aLimitState", model, "Y0", ot.Greater(), 20.0)
myStudy.add(limitState)

# Monte Carlo ##
analysis = persalys.MonteCarloReliabilityAnalysis("myMonteCarlo", limitState)
analysis.setMaximumCalls(1000)
analysis.setBlockSize(10)
analysis.setSeed(2)
myStudy.add(analysis)
print(analysis)

analysis.run()

print("result=", analysis.getResult())

# Monte Carlo ##
analysis2 = persalys.MonteCarloReliabilityAnalysis("myMonteCarlo2", limitState)
analysis2.setMaximumCoefficientOfVariation(0.02)
analysis2.setMaximumElapsedTime(100000)
analysis2.setBlockSize(100)
myStudy.add(analysis2)
print(analysis2)

analysis2.run()

print("result=", analysis2.getResult())

# Monte Carlo ##
X2 = persalys.Input("X2", 2)
model.addInput(X2)
model.setFormula("Y0", "sin(X0) + 8*X1 + X2")

analysis3 = persalys.MonteCarloReliabilityAnalysis("myMonteCarlo3", limitState)
analysis3.setMaximumCalls(1000)
analysis3.setBlockSize(10)
myStudy.add(analysis3)
print(analysis3)

analysis3.run()

result3 = analysis3.getResult()
print("result=", result3)

# script
script = myStudy.getPythonScript()
print(script)
exec(script)